Smart Algorithms Linking Medical Image Data and Measures of Dysfunction
Smart Algorithms Linking Medical Image Data and Measures of Dysfunction
批准号:
FT0991326
负责人:
Prof Andrew Turpin
金额:
$56.05万
依托单位国家:
澳大利亚
项目类别:
ARC Future Fellowships
财政年份:
2010
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2010-02-01 至 2014-12-31
中文摘要
失明对一个人的生活质量有深远的影响。监控视觉设备的进步并没有赶上分析这些设备数据的计算机软件的进步。该项目将结合计算机科学、视觉神经科学和临床专业知识来设计算法和构建软件,这将大大提高临床医生诊断和监测视力丧失的能力。反过来,这将大大提高患有青光眼等疾病的人在老年时保持视力的机会。此外,该项目的成果将为仿生眼技术的发展提供信息,这将帮助那些患有色素性视网膜和老年性黄斑变性等眼病的人看到东西。
英文摘要
Losing sight has a profound affect on a person's quality of life. Advances in devices that monitor vision have not been matched by advances in computer software that analyses data from those devices. This project will combine computer science, visual neuroscience and clinical expertise to devise algorithms and build software that will vastly improve clinician's abilities to diagnose and monitor vision loss. In turn, this will dramatically improve the chances of those with diseases such as glaucoma to preserve their sight into old age. Furthermore, outcomes from this project will inform the development bionic eye technologies, which will assist those with eye diseases such as retinis pigmantosa and age-related macular degeneration to see.
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会议论文
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